How to fix ValueError: cannot reindex from a duplicate axis when trying to s... in Python

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We're excited to share with you our newest video, "How to solve ValueError: cannot reindex from a duplicate axis when trying to shuffle rows in a DataFrame using `.loc[]` with a permutation of indices. in Python". 🎥 This series is meticulously designed to arm you with knowledge 🧠 and skills 🛠️ to overcome frequent coding challenges.

Today, we will decipher 🔎 and resolve a common error faced by Python coders: the bit hard to solve ValueError: cannot reindex from a duplicate axis when trying to shuffle rows in a DataFrame using `.loc[]` with a permutation of indices.. Here is a snapshot of the code of the video:

Troubling Scenario: ❗️

import pandas as pd
import numpy as np

df = pd.DataFrame({
'A': [1, 2, 3]
})

# Introducing duplicate index intentionally

# Attempting to shuffle rows using loc with a permutation of indices

Unwanted Result: 🚫
ValueError: cannot reindex from a duplicate axis when trying to shuffle rows in a DataFrame using `.loc[]` with a permutation of indices.

Effective Resolution: ✔️

import pandas as pd
import numpy as np

df = pd.DataFrame({
'A': [1, 2, 3]
})

# Introducing duplicate index intentionally

# Attempting to shuffle rows using iloc with a permutation of indices

Desired Output: 🏁

A
1 2
1 2
0 1

In this detailed walkthrough, we will illuminate 💡 the underlying cause of this error, and offer a comprehensive explanation: In Code1, shuffling fails due to duplicates in index; `loc` expects unique indices. Code2 correctly uses `iloc`, which references by position, circumventing the issue with duplicate indices. 🎯

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